Uses of Class
de.lmu.ifi.dbs.elki.data.ParameterizationFunction

Packages that use ParameterizationFunction

de.lmu.ifi.dbs.elki.algorithm.clustering.correlation	Package to collect correlation clustering algorithms suitable as a task for the KDDTask main routine.
de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash	Helper classes for the CASH algorithm.
de.lmu.ifi.dbs.elki.algorithm.result.clustering	Package to collect result classes for the results of clustering algorithms.
de.lmu.ifi.dbs.elki.parser	Package collects parser for different file formats and data types.

Uses of ParameterizationFunction in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation

Fields in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation with type parameters of type ParameterizationFunction

private Database<ParameterizationFunction>

CASH.database The database holding the objects.

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation that return ParameterizationFunction

private ParameterizationFunction

CASH.project(Matrix basis, ParameterizationFunction f) Projects the specified parametrization function into the subspace described by the given basis.

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation that return types with arguments of type ParameterizationFunction

private Database<ParameterizationFunction>	CASH.buildDB(int dim, Matrix basis, Set<Integer> ids, Database<ParameterizationFunction> database) Builds a dim-1 dimensional database where the objects are projected into the specified subspace.
Result<ParameterizationFunction>	CASH.getResult() Returns the result of the algorithm.

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation with parameters of type ParameterizationFunction

private ParameterizationFunction

CASH.project(Matrix basis, ParameterizationFunction f) Projects the specified parametrization function into the subspace described by the given basis.

Method parameters in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation with type arguments of type ParameterizationFunction

private Database<ParameterizationFunction>	CASH.buildDB(int dim, Matrix basis, Set<Integer> ids, Database<ParameterizationFunction> database) Builds a dim-1 dimensional database where the objects are projected into the specified subspace.
private Database<RealVector>	CASH.buildDerivatorDB(Database<ParameterizationFunction> database, CASHInterval interval) Builds a database for the derivator consisting of the ids in the specified interval.
private double[]	CASH.determineMinMaxDistance(Database<ParameterizationFunction> database, int dimensionality) Determines the minimum and maximum function value of all parametrization functions stored in the specified database.
private SubspaceClusterMap	CASH.doRun(Database<ParameterizationFunction> database, Progress progress) Runs the CASH algorithm on the specified database, this method is recursively called until only noise is left.
private Set<Integer>	CASH.getDatabaseIDs(Database<ParameterizationFunction> database) Returns the set of ids belonging to the specified database.
private void	CASH.initHeap(DefaultHeap<Integer,CASHInterval> heap, Database<ParameterizationFunction> database, int dim, Set<Integer> ids) Initializes the heap with the root intervals.
private Matrix	CASH.runDerivator(Database<ParameterizationFunction> database, int dim, CASHInterval interval, Set<Integer> ids) Runs the derivator on the specified inerval and assigns all points having a distance less then the standard deviation of the derivator model to the model to this model.
protected void	CASH.runInTime(Database<ParameterizationFunction> database) The run method encapsulated in measure of runtime.

Uses of ParameterizationFunction in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash

Fields in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash with type parameters of type ParameterizationFunction

private Database<ParameterizationFunction>

CASHIntervalSplit.database The database storing the parameterization functions.

Constructor parameters in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash with type arguments of type ParameterizationFunction

CASHIntervalSplit(Database<ParameterizationFunction> database, int minPts)
Initializes the logger and sets the debug status to the given value.

Uses of ParameterizationFunction in de.lmu.ifi.dbs.elki.algorithm.result.clustering

Method parameters in de.lmu.ifi.dbs.elki.algorithm.result.clustering with type arguments of type ParameterizationFunction

void	SubspaceClusterMap.add(Integer dimensionality, Set<Integer> ids, Database<ParameterizationFunction> database) Adds a cluster with the specified subspace dimensionality and the specified ids to this map.
private Database<RealVector>	SubspaceClusterMap.buildDerivatorDB(Database<ParameterizationFunction> database, Set<Integer> ids) Builds a database for the derivator consisting of the ids in the specified interval.
void	CASHResult.output(File out, Normalization<ParameterizationFunction> normalization, List<AttributeSettings> settings)
void	CASHResult.output(PrintStream outStream, Normalization<ParameterizationFunction> normalization, List<AttributeSettings> settings) todo Writes the clustering result to the given stream.
private LinearEquationSystem	SubspaceClusterMap.runDerivator(Database<ParameterizationFunction> database, int dimensionality, Set<Integer> ids) Runs the derivator on the specified inerval and assigns all points having a distance less then the standard deviation of the derivator model to the model to this model.
private void	CASHResult.write(int clusterDimensionality, Set<Integer> clusterIDs, LinearEquationSystem clusterDependency, PrintStream out, Normalization<ParameterizationFunction> normalization, List<AttributeSettings> settings) Writes a cluster to the designated print stream.

Constructor parameters in de.lmu.ifi.dbs.elki.algorithm.result.clustering with type arguments of type ParameterizationFunction

CASHResult(Database<ParameterizationFunction> db, SubspaceClusterMap clusterMap, int dimensionality)
todo

HierarchicalCASHClusters(HierarchicalCASHCluster rootCluster, Database<ParameterizationFunction> db)
Provides a result of a clustering algorithm that computes correlation clusters in arbitrary subspaces.

Uses of ParameterizationFunction in de.lmu.ifi.dbs.elki.parser

Methods in de.lmu.ifi.dbs.elki.parser that return types with arguments of type ParameterizationFunction

ParsingResult<ParameterizationFunction>

ParameterizationFunctionLabelParser.parse(InputStream in)